code: def __init__(self):
      super().__init__()
  
      self.l1 = nn.Linear(1, 10)
      self.l2 = nn.Sequential(nn.Linear(10, 1), nn.Linear(1, 10))
      self.l3 = nn.Dropout(0.1)
  
file_path: labml/client/test/test_model_probe.py
imports: import torch
  from labml import monit
  from labml.internal.analytics.models import ModelProbe
  from labml.logger import inspect
  from torch import nn
label_desc: Use image node_id 1 to create a new Model object from inherited base classes: nn with example: obj = Model()